DECA Diagram for PhD research

DECA: DoD Enterprise Cloud Cross Domain Solution

DECA Diagram for PhD research


The Department of Defense (DoD) battlefield exists both in cyber and the physical world. Information sharing is a top priority for the DoD in support of our warfighters and allies. To maintain military technological advantage and superiority, access to information and the capacity to process it are critical components for empowering the warfighter for mission success. The volume of information shared has increased exponentially, necessitating the development of a DoD enterprise cloud capable of sustaining, and supporting strategic worldwide DoD missions through effective information sharing. However, the existing U.S. Government cloud design does not support enterprise use, and legacy software and hardware applications such as a Cross Domain Solution (CDS) will need to be re-architected, certified, accredited, and authorized for future enterprise cloud use. A CDS is a requirement for information sharing in both unclassified and classified systems and information transmission from one system to another, but there must also be a DoD enterprise cloud structure to leverage the CDS in the U.S. Government cloud. The purpose of this research is to explore the future possibilities of using an enterprise cloud CDS and to present a conceptual design for a DoD enterprise cloud architecture that will save the DoD time and money in the certification process while also allowing efficient information sharing across multiple DoD Command and Control (C2) systems. To have this cloud cross domain solution architecture design approved and accredited by the DoD for future use, we adhere to the Federal Risk and Authorization Management Program (FedRAMP), a process required for federal agency cloud deployments and the National Institute of Standards and Technology (NIST) standards. We use existing systems from across the DoD and allies found in the open literature as a baseline.

Artificial Intelligence and Cloud Computing Conference (AICCC ’21), December 17–19, 2021, Kyoto, Japan

Paper will be accessible here:

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